1 citations · 1 across the 4 of their papers we have counts for
4 papers
DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs
Md Hasebul Hasan, Krity Haque Charu, Eshwara Prasad Sridhar +2
Effective de-escalation is critical for law enforcement safety and community trust, yet traditional training methods lack scalability and realism. While Large Language Models (LLMs…
MapAgent: A Hierarchical Agent for Geospatial Reasoning with Dynamic Map Tool Integration
Md Hasebul Hasan, Mahir Labib Dihan, Tanzima Hashem +2
Agentic AI has significantly extended the capabilities of large language models (LLMs) by enabling complex reasoning and tool use. However, most existing frameworks are tailored to…
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez +5
Recent advancements in foundation models have improved autonomous tool usage and reasoning, but their capabilities in map-based reasoning remain underexplored. To address this, we…
A Multi-Modal Deep Learning Based Approach for House Price Prediction
Md Hasebul Hasan, Md Abid Jahan, Mohammed Eunus Ali +2
Accurate prediction of house price, a vital aspect of the residential real estate sector, is of substantial interest for a wide range of stakeholders. However, predicting house pri…